Triple
T22846685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bappi Lahiri |
E566238
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Himmatwala |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Himmatwala | Statement: [Bappi Lahiri, notableWork, Himmatwala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Himmatwala Context triple: [Bappi Lahiri, notableWork, Himmatwala]
-
A.
Himmatwala
chosen
Himmatwala is a 1983 Hindi-language masala film best known for its commercial success and for helping establish Sridevi as a major Bollywood star.
-
B.
Dhamar
Dhamar is a historic city in Yemen known as an important political and cultural center, particularly during the rule of the Rassid dynasty.
-
C.
Kanjhawala
Kanjhawala is a locality in Delhi, India, known primarily as an administrative center within the North West Delhi district.
-
D.
Kathamala
Kathamala is a renowned Bengali literary work by Ishwar Chandra Vidyasagar, known for its moral and educational stories aimed at children and young readers.
-
E.
Mahjoor
Mahjoor was a renowned Kashmiri poet celebrated for revitalizing modern Kashmiri literature and expressing the social and cultural aspirations of the Kashmiri people.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e88fb408190a58c91486ea65169 |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:36 p.m.